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--- |
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library_name: transformers |
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license: mit |
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base_model: openai-community/gpt2 |
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tags: |
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- trl |
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- orpo |
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- generated_from_trainer |
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datasets: |
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- piqa |
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model-index: |
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- name: orpo-model-output |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# orpo-model-output |
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This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on the piqa dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.2999 |
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- Rewards/chosen: -0.3182 |
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- Rewards/rejected: -0.3369 |
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- Rewards/accuracies: 0.6693 |
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- Rewards/margins: 0.0187 |
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- Logps/rejected: -3.3688 |
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- Logps/chosen: -3.1821 |
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- Logits/rejected: -24.5739 |
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- Logits/chosen: -24.6603 |
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- Nll Loss: 3.2330 |
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- Log Odds Ratio: -0.6695 |
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- Log Odds Chosen: 0.2013 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | Nll Loss | Log Odds Ratio | Log Odds Chosen | |
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|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|:--------------:|:---------------:| |
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| 3.1799 | 1.0 | 3223 | 3.1575 | -0.2992 | -0.3103 | 0.6472 | 0.0111 | -3.1030 | -2.9917 | -16.2781 | -16.3180 | 3.0900 | -0.6758 | 0.1201 | |
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| 2.7077 | 2.0 | 6446 | 3.1544 | -0.3005 | -0.3160 | 0.6652 | 0.0154 | -3.1595 | -3.0051 | -21.7517 | -21.8387 | 3.0878 | -0.6671 | 0.1676 | |
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| 2.2691 | 3.0 | 9669 | 3.2999 | -0.3182 | -0.3369 | 0.6693 | 0.0187 | -3.3688 | -3.1821 | -24.5739 | -24.6603 | 3.2330 | -0.6695 | 0.2013 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.0.0 |
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- Datasets 2.16.1 |
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- Tokenizers 0.19.1 |
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